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Social-motor experience and perception-action learning bring efficiency to machines

Published online by Cambridge University Press:  10 November 2017

Ludovic Marin
Affiliation:
EuroMov Laboratory, University of Montpellier, Montpellier, France. [email protected]://euromov.eu/team/ludovic-marin/
Ghiles Mostafaoui
Affiliation:
ETIS Laboratory, Cergy-Pontoise University, 95302 Cergy Pontoise, France. [email protected]

Abstract

Lake et al. proposed a way to build machines that learn as fast as people do. This can be possible only if machines follow the human processes: the perception-action loop. People perceive and act to understand new objects or to promote specific behavior to their partners. In return, the object/person provides information that induces another reaction, and so on.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2017 

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